2 months ago
Lisbon, PortugalEntry Level
Responsibilities
- Build and improve machine-learning components across data, training, evaluation, and inference.
- Fine-tune and adapt models within larger production systems.
- Implement evaluation and testing to understand model behavior.
- Build and maintain data pipelines for real-world and synthetic data.
- Debug model issues, performance problems, and production incidents.
- Ship iterative improvements based on real user feedback.
- Collaborate with senior ML engineers and product teams under latency, cost, reliability, and safety constraints.
- Ensure production models, data pipelines, training loops, and inference systems meet accuracy, latency, reliability, robustness, reproducibility, and maintainability targets.
Requirements
- Strong foundations in machine learning and modern neural architectures.
- Some hands-on experience training, fine-tuning, or deploying machine-learning models.
- Ability to write production-quality code and learn new tools quickly.
- Curiosity, coachability, and willingness to learn from production systems.
- Ability to work through ambiguity with guidance and grow ownership over time.
- Bias toward shipping, iteration, and continuous improvement.
Benefits
- Interviews are conducted via virtual meetings and/or onsite.
- The interview process includes 3, and no more than 4, interviews with a prompt decision.
Categories
About Bjak
Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insurance platform in Southeast Asia. If you enjoy building cutting edge platform-ecosystems that gives equal access to financial services to everyone at scale, join us.